Derivative Securities Fall 2012 Final Exam Guidance Extended version includes full semester

Size: px
Start display at page:

Download "Derivative Securities Fall 2012 Final Exam Guidance Extended version includes full semester"

Transcription

1 Derivative Securities Fall 2012 Final Exam Guidance Extended version includes full semester Our exam is Wednesday, December 19, at the normal class place and time. You may bring two sheets of notes (8.5 11, both sides, any font). No books, calculators, or computers are permitted. Some of the questions will be similar to (pieces of) homework problems you have done. Others will address crucial concepts or calculations discussed in the notes and lectures. For guidance what type of questions to expect, see my Fall 2004 Derivative Securities final, which is at securities 2004.html. (Note: there are underscores after derivative and securities.) Material in the Section 10 notes (corresponding to the 11/21 lecture) will not be on the exam. Also, the justification of Black s formula for interest-based options (which is in the Section 9 notes, but was discussed in class on 11/21) will not be on the exam. The use of Black s formula for interest-based options will, however, be on the exam. Material in the Section 12 notes (corresponding to the 12/5 lecture) will not be on the exam. Here are some examples of things that could be on the exam. Please note that this list is not complete: other topics of comparable importance could also be on the exam. Section 1: Forwards, puts, calls, and absence of arbitrage - Be able to explain how investors make use of forwards and options markets to take positions on assets they think will increase (or decrease) in value without needing to invest money. - Be able to explain how a few investors seeking arbitrage profits can ensure that no arbitrage relationships hold for all investors. - Be able to explain the difference between the expected value of an asset and its forward price. - Given the price of an asset (stock, foreign exchange, commodity), the risk free rate, and the borrowing rate for the asset, be able to compute the forward price (the delivery price that makes the present value of the forward contract 0). If the actual forward price differs from this computed price, determine what action is required to make a riskless profit and calculate the profit. 1

2 - Be able to derive the borrowing rate of a commodity from the spot and forward price. - Be able to find a portfolio of options with a given payoff diagram. - Be able to determine actions necessary to profit from options prices that are inconsistent (e.g. due to failure of put-call parity), and to calculate the resulting profit. - Be able to prove the put-call parity formula. Sections 2 and 3: binomial trees - Be able to explain why early exercise is never optimal for an American call on a nondividend-paying stock. Also, be able to show that for an American call on a dividendpaying stock, and for an American put on a non-dividend-paying stock, early exercise can be optimal in some circumstances. - Be able to explain why the futures price is a martingale under the risk-neutral probability. - Be able to value a European call or put option on stock price or forward price, by working backwards through a binomial tree. (This includes finding the risk-neutral probabilities associated with the tree.) Be able to calculate an appropriate hedge (i.e. a position in stock or futures or forwards that eliminates your risk) at each node of the tree. Be able to replicate the option using stock, forwards or futures. - Be able to value an American call or put using a binomial tree, and to find an appropriate hedge at each node. - Be able to explain why, in a multiplicative stock price tree, the risk-neutral probability of the up branch satisfies q = erδt d u d, and in a multiplicative forward price tree it satisfies q = 1 d u d. Sections 4 and 5: the Black-Scholes formula and its applications - Be able to sketch the logic by which we found that for a lognormal non-dividend-paying stock, the risk-neutral distribution of stock prices is s t = s 0 e X where X is Gaussian with mean (r 1 2 σ2 )t and variance σ 2 t. (You would not be asked to reproduce the argument in full detail.) - Be able to provide intuition behind the signs of the Greeks for calls and puts. 2

3 - Be able to explain why the price of an option uniquely determines an implied volatility. - Be able to explain how fat tails are related to the dependence of implied volatility on the strike of an option. - Given the drift and volatility of a lognormal stock price, give an expression (for example) for the probability that the price will lie in a certain interval at time T. [ ] - Be able to explain how our formula for E e ax restricted to X > k (with X Gaussian) leads to the Black-Scholes formulas for puts and calls. Or use this formula to price a different option (as done in a couple of HW problems). - Be able to calculate implied volatility using Newton s method. - Explain why the Delta of a call is N(d 1 ). - Use put-call parity to explain the relationship between the Delta, Vega, or Gamma of a call and those of a put. Sections 6 and 7: Stochastic differential equations, martingales, and exotic options - Be able to say what it means to be a martingale, in both a binomial tree and continuous-time setting. - Be able to say why the Black-Scholes PDE is useful for valuing European options, but not for most exotic options. - Be able to say why the price of a non-dividend-paying stock under the risk-neutral probability satisfies (in a constant-interest-rate setting) ds = rs dt + σs dw. Also why the forward price satisfies df = σf dw. - Be able to apply Ito s lemma, to find an SDE satisfied by z = f(s(t), t), where s solves a given SDE and f is a given function of two variables. Be able to apply this, e.g. as we did in several HW problems. - Be able to value path-dependent options (such as an Asian option, or a barrier option) using a tree. - Be able to show that if V (s, t) solves the Black-Scholes PDE V t + rsv s σ2 s 2 V ss rv = 0 for t < T with V (s, T ) = φ(s), and ds = rs dt + σs dw, then V (t, s(t)) = e r(t t) E[φ(s(T ))]. at 3

4 - Be able to show that if V (s, t) solves the Black-Scholes PDE (above) and ds = rs dt + σs dw then the payoff φ(s(t )) is replicated by a self-financing trading strategy with initial value (at time 0) V (s(0), 0), which holds V s (s(t), t) units of stock at time t. - Analogues of the last two items for options on a forward price (in this case V (F, t) solves V t σ2 F 2 V F F rv = 0 for t < T and the SDE is df = σf dw). Sections 8 and 9: Interest-based derivatives - Be able to explain how a swap can be viewed as either the difference between a fixed rate bond and a floating rate bond or as a series of forward rate agreements. - Be able to explain how you can lock in, at time 0, F (t, T ) = B(0, T )/B(0, t) as the discount rate for borrowing from t to T. - Be able to compute the present value of a swap, or the par swap rate for a swap, given the payment dates and the relevant discount factors. - Be able to translate between discount factors, forward rates, the prices of fixed-rate bonds, etc - Know which version of Black s formula to use for valuing a particular instrument (e.g. a caplet, floorlet, or swaption). Be able to apply it, given appropriate information (this entails, for example, evaluating the relevant forward price). - Be able to value an interest-based option on a tree. - Be able to explain why a floating rate bond that pays the risk-free rate should always be priced at par on a coupon payment date. Note: The material in Section 10 will not be on the exam. Also: the justification of Black s formula (which occupies a few pages of Section 9) will not be on the exam. (The use of Black s formula for interest-based options will however be on the exam.) Section 11: Single-name credit - Be able to explain why some investors might want to buy and others might want to sell credit default swaps. - Be able to explain the similarities and differences between an asset swap and a credit default swap. 4

5 - Be able to explain the logic behind the Merton model for estimating default probabilities from market data. - Be able to explain why we should not expect the default probabilities extracted from the prices of bonds to match the historical default probabilities of companies similar to the one under consideration. - Given the market prices of fixed-coupon bonds issued by a particular corporation with various maturities, and knowledge of the risk-free discount factors for each payment date, find the (risk-neutral) probability of survival to each payment date. - Given the conditional default probabilities and appropriate risk-free discount factors, find the value of a particular credit default swap, or else calculate the par CDS spread. - Assess whether the Merton model has been properly calibrated (by testing whether a particular choice of V 0 and σ V are consistent with the current stock price E 0 and the current implied volatility σ E ). - Be able to explain the relationship between the probability of survival to time t i (S i ), the conditional probability of default between t i 1 and t i given survival to t i 1 (d i ), and the probability of default between t i 1 and t i (p i ). (Briefly: S i = S i 1 (1 d i ) and p i = S i 1 S i = S i 1 d i.) - Be able to explain the origin of each term in the formula for pricing a defaultable bond, or a credit default swap. Note: The material in Section 12 (our discussion of multiname credit products and default correlation) will not be on the exam. 5

Derivative Securities Section 9 Fall 2004 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences.

Derivative Securities Section 9 Fall 2004 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences. Derivative Securities Section 9 Fall 2004 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences. Futures, and options on futures. Martingales and their role in option pricing. A brief introduction

More information

MFIN 7003 Module 2. Mathematical Techniques in Finance. Sessions B&C: Oct 12, 2015 Nov 28, 2015

MFIN 7003 Module 2. Mathematical Techniques in Finance. Sessions B&C: Oct 12, 2015 Nov 28, 2015 MFIN 7003 Module 2 Mathematical Techniques in Finance Sessions B&C: Oct 12, 2015 Nov 28, 2015 Instructor: Dr. Rujing Meng Room 922, K. K. Leung Building School of Economics and Finance The University of

More information

1 Interest Based Instruments

1 Interest Based Instruments 1 Interest Based Instruments e.g., Bonds, forward rate agreements (FRA), and swaps. Note that the higher the credit risk, the higher the interest rate. Zero Rates: n year zero rate (or simply n-year zero)

More information

4. Black-Scholes Models and PDEs. Math6911 S08, HM Zhu

4. Black-Scholes Models and PDEs. Math6911 S08, HM Zhu 4. Black-Scholes Models and PDEs Math6911 S08, HM Zhu References 1. Chapter 13, J. Hull. Section.6, P. Brandimarte Outline Derivation of Black-Scholes equation Black-Scholes models for options Implied

More information

Hedging Credit Derivatives in Intensity Based Models

Hedging Credit Derivatives in Intensity Based Models Hedging Credit Derivatives in Intensity Based Models PETER CARR Head of Quantitative Financial Research, Bloomberg LP, New York Director of the Masters Program in Math Finance, Courant Institute, NYU Stanford

More information

MFE/3F Questions Answer Key

MFE/3F Questions Answer Key MFE/3F Questions Download free full solutions from www.actuarialbrew.com, or purchase a hard copy from www.actexmadriver.com, or www.actuarialbookstore.com. Chapter 1 Put-Call Parity and Replication 1.01

More information

The Black-Scholes Model

The Black-Scholes Model The Black-Scholes Model Liuren Wu Options Markets (Hull chapter: 12, 13, 14) Liuren Wu ( c ) The Black-Scholes Model colorhmoptions Markets 1 / 17 The Black-Scholes-Merton (BSM) model Black and Scholes

More information

The Black-Scholes Model

The Black-Scholes Model The Black-Scholes Model Liuren Wu Options Markets Liuren Wu ( c ) The Black-Merton-Scholes Model colorhmoptions Markets 1 / 18 The Black-Merton-Scholes-Merton (BMS) model Black and Scholes (1973) and Merton

More information

From Discrete Time to Continuous Time Modeling

From Discrete Time to Continuous Time Modeling From Discrete Time to Continuous Time Modeling Prof. S. Jaimungal, Department of Statistics, University of Toronto 2004 Arrow-Debreu Securities 2004 Prof. S. Jaimungal 2 Consider a simple one-period economy

More information

MASM006 UNIVERSITY OF EXETER SCHOOL OF ENGINEERING, COMPUTER SCIENCE AND MATHEMATICS MATHEMATICAL SCIENCES FINANCIAL MATHEMATICS.

MASM006 UNIVERSITY OF EXETER SCHOOL OF ENGINEERING, COMPUTER SCIENCE AND MATHEMATICS MATHEMATICAL SCIENCES FINANCIAL MATHEMATICS. MASM006 UNIVERSITY OF EXETER SCHOOL OF ENGINEERING, COMPUTER SCIENCE AND MATHEMATICS MATHEMATICAL SCIENCES FINANCIAL MATHEMATICS May/June 2006 Time allowed: 2 HOURS. Examiner: Dr N.P. Byott This is a CLOSED

More information

MFE/3F Questions Answer Key

MFE/3F Questions Answer Key MFE/3F Questions Download free full solutions from www.actuarialbrew.com, or purchase a hard copy from www.actexmadriver.com, or www.actuarialbookstore.com. Chapter 1 Put-Call Parity and Replication 1.01

More information

1.1 Basic Financial Derivatives: Forward Contracts and Options

1.1 Basic Financial Derivatives: Forward Contracts and Options Chapter 1 Preliminaries 1.1 Basic Financial Derivatives: Forward Contracts and Options A derivative is a financial instrument whose value depends on the values of other, more basic underlying variables

More information

************************

************************ Derivative Securities Options on interest-based instruments: pricing of bond options, caps, floors, and swaptions. The most widely-used approach to pricing options on caps, floors, swaptions, and similar

More information

The Black-Scholes PDE from Scratch

The Black-Scholes PDE from Scratch The Black-Scholes PDE from Scratch chris bemis November 27, 2006 0-0 Goal: Derive the Black-Scholes PDE To do this, we will need to: Come up with some dynamics for the stock returns Discuss Brownian motion

More information

Lecture 8: The Black-Scholes theory

Lecture 8: The Black-Scholes theory Lecture 8: The Black-Scholes theory Dr. Roman V Belavkin MSO4112 Contents 1 Geometric Brownian motion 1 2 The Black-Scholes pricing 2 3 The Black-Scholes equation 3 References 5 1 Geometric Brownian motion

More information

( ) since this is the benefit of buying the asset at the strike price rather

( ) since this is the benefit of buying the asset at the strike price rather Review of some financial models for MAT 483 Parity and Other Option Relationships The basic parity relationship for European options with the same strike price and the same time to expiration is: C( KT

More information

Bluff Your Way Through Black-Scholes

Bluff Your Way Through Black-Scholes Bluff our Way Through Black-Scholes Saurav Sen December 000 Contents What is Black-Scholes?.............................. 1 The Classical Black-Scholes Model....................... 1 Some Useful Background

More information

The Black-Scholes Model

The Black-Scholes Model IEOR E4706: Foundations of Financial Engineering c 2016 by Martin Haugh The Black-Scholes Model In these notes we will use Itô s Lemma and a replicating argument to derive the famous Black-Scholes formula

More information

Institute of Actuaries of India. Subject. ST6 Finance and Investment B. For 2018 Examinationspecialist Technical B. Syllabus

Institute of Actuaries of India. Subject. ST6 Finance and Investment B. For 2018 Examinationspecialist Technical B. Syllabus Institute of Actuaries of India Subject ST6 Finance and Investment B For 2018 Examinationspecialist Technical B Syllabus Aim The aim of the second finance and investment technical subject is to instil

More information

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should Mathematics of Finance Final Preparation December 19 To be thoroughly prepared for the final exam, you should 1. know how to do the homework problems. 2. be able to provide (correct and complete!) definitions

More information

TEACHING NOTE 98-04: EXCHANGE OPTION PRICING

TEACHING NOTE 98-04: EXCHANGE OPTION PRICING TEACHING NOTE 98-04: EXCHANGE OPTION PRICING Version date: June 3, 017 C:\CLASSES\TEACHING NOTES\TN98-04.WPD The exchange option, first developed by Margrabe (1978), has proven to be an extremely powerful

More information

Financial Markets & Risk

Financial Markets & Risk Financial Markets & Risk Dr Cesario MATEUS Senior Lecturer in Finance and Banking Room QA259 Department of Accounting and Finance c.mateus@greenwich.ac.uk www.cesariomateus.com Session 3 Derivatives Binomial

More information

Lecture Quantitative Finance Spring Term 2015

Lecture Quantitative Finance Spring Term 2015 and Lecture Quantitative Finance Spring Term 2015 Prof. Dr. Erich Walter Farkas Lecture 06: March 26, 2015 1 / 47 Remember and Previous chapters: introduction to the theory of options put-call parity fundamentals

More information

Martingale Methods in Financial Modelling

Martingale Methods in Financial Modelling Marek Musiela Marek Rutkowski Martingale Methods in Financial Modelling Second Edition Springer Table of Contents Preface to the First Edition Preface to the Second Edition V VII Part I. Spot and Futures

More information

FE610 Stochastic Calculus for Financial Engineers. Stevens Institute of Technology

FE610 Stochastic Calculus for Financial Engineers. Stevens Institute of Technology FE610 Stochastic Calculus for Financial Engineers Lecture 13. The Black-Scholes PDE Steve Yang Stevens Institute of Technology 04/25/2013 Outline 1 The Black-Scholes PDE 2 PDEs in Asset Pricing 3 Exotic

More information

Crashcourse Interest Rate Models

Crashcourse Interest Rate Models Crashcourse Interest Rate Models Stefan Gerhold August 30, 2006 Interest Rate Models Model the evolution of the yield curve Can be used for forecasting the future yield curve or for pricing interest rate

More information

Economathematics. Problem Sheet 1. Zbigniew Palmowski. Ws 2 dw s = 1 t

Economathematics. Problem Sheet 1. Zbigniew Palmowski. Ws 2 dw s = 1 t Economathematics Problem Sheet 1 Zbigniew Palmowski 1. Calculate Ee X where X is a gaussian random variable with mean µ and volatility σ >.. Verify that where W is a Wiener process. Ws dw s = 1 3 W t 3

More information

CONTINUOUS TIME PRICING AND TRADING: A REVIEW, WITH SOME EXTRA PIECES

CONTINUOUS TIME PRICING AND TRADING: A REVIEW, WITH SOME EXTRA PIECES CONTINUOUS TIME PRICING AND TRADING: A REVIEW, WITH SOME EXTRA PIECES THE SOURCE OF A PRICE IS ALWAYS A TRADING STRATEGY SPECIAL CASES WHERE TRADING STRATEGY IS INDEPENDENT OF PROBABILITY MEASURE COMPLETENESS,

More information

Options. An Undergraduate Introduction to Financial Mathematics. J. Robert Buchanan. J. Robert Buchanan Options

Options. An Undergraduate Introduction to Financial Mathematics. J. Robert Buchanan. J. Robert Buchanan Options Options An Undergraduate Introduction to Financial Mathematics J. Robert Buchanan 2014 Definitions and Terminology Definition An option is the right, but not the obligation, to buy or sell a security such

More information

Course MFE/3F Practice Exam 2 Solutions

Course MFE/3F Practice Exam 2 Solutions Course MFE/3F Practice Exam Solutions The chapter references below refer to the chapters of the ActuarialBrew.com Study Manual. Solution 1 A Chapter 16, Black-Scholes Equation The expressions for the value

More information

The Black-Scholes Equation

The Black-Scholes Equation The Black-Scholes Equation MATH 472 Financial Mathematics J. Robert Buchanan 2018 Objectives In this lesson we will: derive the Black-Scholes partial differential equation using Itô s Lemma and no-arbitrage

More information

Chapter 9 - Mechanics of Options Markets

Chapter 9 - Mechanics of Options Markets Chapter 9 - Mechanics of Options Markets Types of options Option positions and profit/loss diagrams Underlying assets Specifications Trading options Margins Taxation Warrants, employee stock options, and

More information

Notes for Lecture 5 (February 28)

Notes for Lecture 5 (February 28) Midterm 7:40 9:00 on March 14 Ground rules: Closed book. You should bring a calculator. You may bring one 8 1/2 x 11 sheet of paper with whatever you want written on the two sides. Suggested study questions

More information

Definition Pricing Risk management Second generation barrier options. Barrier Options. Arfima Financial Solutions

Definition Pricing Risk management Second generation barrier options. Barrier Options. Arfima Financial Solutions Arfima Financial Solutions Contents Definition 1 Definition 2 3 4 Contenido Definition 1 Definition 2 3 4 Definition Definition: A barrier option is an option on the underlying asset that is activated

More information

Lecture 3: Review of mathematical finance and derivative pricing models

Lecture 3: Review of mathematical finance and derivative pricing models Lecture 3: Review of mathematical finance and derivative pricing models Xiaoguang Wang STAT 598W January 21th, 2014 (STAT 598W) Lecture 3 1 / 51 Outline 1 Some model independent definitions and principals

More information

Lecture 11: Ito Calculus. Tuesday, October 23, 12

Lecture 11: Ito Calculus. Tuesday, October 23, 12 Lecture 11: Ito Calculus Continuous time models We start with the model from Chapter 3 log S j log S j 1 = µ t + p tz j Sum it over j: log S N log S 0 = NX µ t + NX p tzj j=1 j=1 Can we take the limit

More information

Completeness and Hedging. Tomas Björk

Completeness and Hedging. Tomas Björk IV Completeness and Hedging Tomas Björk 1 Problems around Standard Black-Scholes We assumed that the derivative was traded. How do we price OTC products? Why is the option price independent of the expected

More information

NEWCASTLE UNIVERSITY SCHOOL OF MATHEMATICS, STATISTICS & PHYSICS SEMESTER 1 SPECIMEN 2 MAS3904. Stochastic Financial Modelling. Time allowed: 2 hours

NEWCASTLE UNIVERSITY SCHOOL OF MATHEMATICS, STATISTICS & PHYSICS SEMESTER 1 SPECIMEN 2 MAS3904. Stochastic Financial Modelling. Time allowed: 2 hours NEWCASTLE UNIVERSITY SCHOOL OF MATHEMATICS, STATISTICS & PHYSICS SEMESTER 1 SPECIMEN 2 Stochastic Financial Modelling Time allowed: 2 hours Candidates should attempt all questions. Marks for each question

More information

Finance & Stochastic. Contents. Rossano Giandomenico. Independent Research Scientist, Chieti, Italy.

Finance & Stochastic. Contents. Rossano Giandomenico. Independent Research Scientist, Chieti, Italy. Finance & Stochastic Rossano Giandomenico Independent Research Scientist, Chieti, Italy Email: rossano1976@libero.it Contents Stochastic Differential Equations Interest Rate Models Option Pricing Models

More information

Corporate Finance, Module 21: Option Valuation. Practice Problems. (The attached PDF file has better formatting.) Updated: July 7, 2005

Corporate Finance, Module 21: Option Valuation. Practice Problems. (The attached PDF file has better formatting.) Updated: July 7, 2005 Corporate Finance, Module 21: Option Valuation Practice Problems (The attached PDF file has better formatting.) Updated: July 7, 2005 {This posting has more information than is needed for the corporate

More information

Homework Assignments

Homework Assignments Homework Assignments Week 1 (p 57) #4.1, 4., 4.3 Week (pp 58-6) #4.5, 4.6, 4.8(a), 4.13, 4.0, 4.6(b), 4.8, 4.31, 4.34 Week 3 (pp 15-19) #1.9, 1.1, 1.13, 1.15, 1.18 (pp 9-31) #.,.6,.9 Week 4 (pp 36-37)

More information

MATH3075/3975 FINANCIAL MATHEMATICS TUTORIAL PROBLEMS

MATH3075/3975 FINANCIAL MATHEMATICS TUTORIAL PROBLEMS MATH307/37 FINANCIAL MATHEMATICS TUTORIAL PROBLEMS School of Mathematics and Statistics Semester, 04 Tutorial problems should be used to test your mathematical skills and understanding of the lecture material.

More information

INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS. Jakša Cvitanić and Fernando Zapatero

INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS. Jakša Cvitanić and Fernando Zapatero INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS Jakša Cvitanić and Fernando Zapatero INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS Table of Contents PREFACE...1

More information

MATH 425 EXERCISES G. BERKOLAIKO

MATH 425 EXERCISES G. BERKOLAIKO MATH 425 EXERCISES G. BERKOLAIKO 1. Definitions and basic properties of options and other derivatives 1.1. Summary. Definition of European call and put options, American call and put option, forward (futures)

More information

Martingale Methods in Financial Modelling

Martingale Methods in Financial Modelling Marek Musiela Marek Rutkowski Martingale Methods in Financial Modelling Second Edition \ 42 Springer - . Preface to the First Edition... V Preface to the Second Edition... VII I Part I. Spot and Futures

More information

Derivatives Options on Bonds and Interest Rates. Professor André Farber Solvay Business School Université Libre de Bruxelles

Derivatives Options on Bonds and Interest Rates. Professor André Farber Solvay Business School Université Libre de Bruxelles Derivatives Options on Bonds and Interest Rates Professor André Farber Solvay Business School Université Libre de Bruxelles Caps Floors Swaption Options on IR futures Options on Government bond futures

More information

CHAPTER 10 OPTION PRICING - II. Derivatives and Risk Management By Rajiv Srivastava. Copyright Oxford University Press

CHAPTER 10 OPTION PRICING - II. Derivatives and Risk Management By Rajiv Srivastava. Copyright Oxford University Press CHAPTER 10 OPTION PRICING - II Options Pricing II Intrinsic Value and Time Value Boundary Conditions for Option Pricing Arbitrage Based Relationship for Option Pricing Put Call Parity 2 Binomial Option

More information

Term Structure Lattice Models

Term Structure Lattice Models IEOR E4706: Foundations of Financial Engineering c 2016 by Martin Haugh Term Structure Lattice Models These lecture notes introduce fixed income derivative securities and the modeling philosophy used to

More information

MSC FINANCIAL ENGINEERING PRICING I, AUTUMN LECTURE 6: EXTENSIONS OF BLACK AND SCHOLES RAYMOND BRUMMELHUIS DEPARTMENT EMS BIRKBECK

MSC FINANCIAL ENGINEERING PRICING I, AUTUMN LECTURE 6: EXTENSIONS OF BLACK AND SCHOLES RAYMOND BRUMMELHUIS DEPARTMENT EMS BIRKBECK MSC FINANCIAL ENGINEERING PRICING I, AUTUMN 2010-2011 LECTURE 6: EXTENSIONS OF BLACK AND SCHOLES RAYMOND BRUMMELHUIS DEPARTMENT EMS BIRKBECK In this section we look at some easy extensions of the Black

More information

Introduction to Financial Mathematics

Introduction to Financial Mathematics Department of Mathematics University of Michigan November 7, 2008 My Information E-mail address: marymorj (at) umich.edu Financial work experience includes 2 years in public finance investment banking

More information

Stats243 Introduction to Mathematical Finance

Stats243 Introduction to Mathematical Finance Stats243 Introduction to Mathematical Finance Haipeng Xing Department of Statistics Stanford University Summer 2006 Stats243, Xing, Summer 2007 1 Agenda Administrative, course description & reference,

More information

Advanced Corporate Finance. 5. Options (a refresher)

Advanced Corporate Finance. 5. Options (a refresher) Advanced Corporate Finance 5. Options (a refresher) Objectives of the session 1. Define options (calls and puts) 2. Analyze terminal payoff 3. Define basic strategies 4. Binomial option pricing model 5.

More information

Advanced Topics in Derivative Pricing Models. Topic 4 - Variance products and volatility derivatives

Advanced Topics in Derivative Pricing Models. Topic 4 - Variance products and volatility derivatives Advanced Topics in Derivative Pricing Models Topic 4 - Variance products and volatility derivatives 4.1 Volatility trading and replication of variance swaps 4.2 Volatility swaps 4.3 Pricing of discrete

More information

Math489/889 Stochastic Processes and Advanced Mathematical Finance Solutions to Practice Problems

Math489/889 Stochastic Processes and Advanced Mathematical Finance Solutions to Practice Problems Math489/889 Stochastic Processes and Advanced Mathematical Finance Solutions to Practice Problems Steve Dunbar No Due Date: Practice Only. Find the mode (the value of the independent variable with the

More information

Department of Mathematics. Mathematics of Financial Derivatives

Department of Mathematics. Mathematics of Financial Derivatives Department of Mathematics MA408 Mathematics of Financial Derivatives Thursday 15th January, 2009 2pm 4pm Duration: 2 hours Attempt THREE questions MA408 Page 1 of 5 1. (a) Suppose 0 < E 1 < E 3 and E 2

More information

Merton s Jump Diffusion Model

Merton s Jump Diffusion Model Merton s Jump Diffusion Model Peter Carr (based on lecture notes by Robert Kohn) Bloomberg LP and Courant Institute, NYU Continuous Time Finance Lecture 5 Wednesday, February 16th, 2005 Introduction Merton

More information

Forward Risk Adjusted Probability Measures and Fixed-income Derivatives

Forward Risk Adjusted Probability Measures and Fixed-income Derivatives Lecture 9 Forward Risk Adjusted Probability Measures and Fixed-income Derivatives 9.1 Forward risk adjusted probability measures This section is a preparation for valuation of fixed-income derivatives.

More information

Lecture 6: Option Pricing Using a One-step Binomial Tree. Thursday, September 12, 13

Lecture 6: Option Pricing Using a One-step Binomial Tree. Thursday, September 12, 13 Lecture 6: Option Pricing Using a One-step Binomial Tree An over-simplified model with surprisingly general extensions a single time step from 0 to T two types of traded securities: stock S and a bond

More information

Lahore University of Management Sciences. FINN 453 Financial Derivatives Spring Semester 2017

Lahore University of Management Sciences. FINN 453 Financial Derivatives Spring Semester 2017 Instructor Ferhana Ahmad Room No. 314 Office Hours TBA Email ferhana.ahmad@lums.edu.pk Telephone +92 42 3560 8044 Secretary/TA Sec: Bilal Alvi/ TA: TBA TA Office Hours TBA Course URL (if any) http://suraj.lums.edu.pk/~ro/

More information

Financial Derivatives Section 5

Financial Derivatives Section 5 Financial Derivatives Section 5 The Black and Scholes Model Michail Anthropelos anthropel@unipi.gr http://web.xrh.unipi.gr/faculty/anthropelos/ University of Piraeus Spring 2018 M. Anthropelos (Un. of

More information

BIRKBECK (University of London) MSc EXAMINATION FOR INTERNAL STUDENTS MSc FINANCIAL ENGINEERING DEPARTMENT OF ECONOMICS, MATHEMATICS AND STATIS- TICS

BIRKBECK (University of London) MSc EXAMINATION FOR INTERNAL STUDENTS MSc FINANCIAL ENGINEERING DEPARTMENT OF ECONOMICS, MATHEMATICS AND STATIS- TICS BIRKBECK (University of London) MSc EXAMINATION FOR INTERNAL STUDENTS MSc FINANCIAL ENGINEERING DEPARTMENT OF ECONOMICS, MATHEMATICS AND STATIS- TICS PRICING EMMS014S7 Tuesday, May 31 2011, 10:00am-13.15pm

More information

Brownian Motion and Ito s Lemma

Brownian Motion and Ito s Lemma Brownian Motion and Ito s Lemma 1 The Sharpe Ratio 2 The Risk-Neutral Process Brownian Motion and Ito s Lemma 1 The Sharpe Ratio 2 The Risk-Neutral Process The Sharpe Ratio Consider a portfolio of assets

More information

Lecture 9: Practicalities in Using Black-Scholes. Sunday, September 23, 12

Lecture 9: Practicalities in Using Black-Scholes. Sunday, September 23, 12 Lecture 9: Practicalities in Using Black-Scholes Major Complaints Most stocks and FX products don t have log-normal distribution Typically fat-tailed distributions are observed Constant volatility assumed,

More information

2.3 Mathematical Finance: Option pricing

2.3 Mathematical Finance: Option pricing CHAPTR 2. CONTINUUM MODL 8 2.3 Mathematical Finance: Option pricing Options are some of the commonest examples of derivative securities (also termed financial derivatives or simply derivatives). A uropean

More information

Final Exam. Please answer all four questions. Each question carries 25% of the total grade.

Final Exam. Please answer all four questions. Each question carries 25% of the total grade. Econ 174 Financial Insurance Fall 2000 Allan Timmermann UCSD Final Exam Please answer all four questions. Each question carries 25% of the total grade. 1. Explain the reasons why you agree or disagree

More information

Econ 174 Financial Insurance Fall 2000 Allan Timmermann. Final Exam. Please answer all four questions. Each question carries 25% of the total grade.

Econ 174 Financial Insurance Fall 2000 Allan Timmermann. Final Exam. Please answer all four questions. Each question carries 25% of the total grade. Econ 174 Financial Insurance Fall 2000 Allan Timmermann UCSD Final Exam Please answer all four questions. Each question carries 25% of the total grade. 1. Explain the reasons why you agree or disagree

More information

Handbook of Financial Risk Management

Handbook of Financial Risk Management Handbook of Financial Risk Management Simulations and Case Studies N.H. Chan H.Y. Wong The Chinese University of Hong Kong WILEY Contents Preface xi 1 An Introduction to Excel VBA 1 1.1 How to Start Excel

More information

FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A

FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 2016 17 FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other

More information

1. 2 marks each True/False: briefly explain (no formal proofs/derivations are required for full mark).

1. 2 marks each True/False: briefly explain (no formal proofs/derivations are required for full mark). The University of Toronto ACT460/STA2502 Stochastic Methods for Actuarial Science Fall 2016 Midterm Test You must show your steps or no marks will be awarded 1 Name Student # 1. 2 marks each True/False:

More information

Lecture Notes for Chapter 6. 1 Prototype model: a one-step binomial tree

Lecture Notes for Chapter 6. 1 Prototype model: a one-step binomial tree Lecture Notes for Chapter 6 This is the chapter that brings together the mathematical tools (Brownian motion, Itô calculus) and the financial justifications (no-arbitrage pricing) to produce the derivative

More information

Derivatives Analysis & Valuation (Futures)

Derivatives Analysis & Valuation (Futures) 6.1 Derivatives Analysis & Valuation (Futures) LOS 1 : Introduction Study Session 6 Define Forward Contract, Future Contract. Forward Contract, In Forward Contract one party agrees to buy, and the counterparty

More information

Black-Scholes-Merton Model

Black-Scholes-Merton Model Black-Scholes-Merton Model Weerachart Kilenthong University of the Thai Chamber of Commerce c Kilenthong 2017 Weerachart Kilenthong University of the Thai Chamber Black-Scholes-Merton of Commerce Model

More information

Review of Derivatives I. Matti Suominen, Aalto

Review of Derivatives I. Matti Suominen, Aalto Review of Derivatives I Matti Suominen, Aalto 25 SOME STATISTICS: World Financial Markets (trillion USD) 2 15 1 5 Securitized loans Corporate bonds Financial institutions' bonds Public debt Equity market

More information

Derivative Securities

Derivative Securities Derivative Securities he Black-Scholes formula and its applications. his Section deduces the Black- Scholes formula for a European call or put, as a consequence of risk-neutral valuation in the continuous

More information

Subject CT8 Financial Economics Core Technical Syllabus

Subject CT8 Financial Economics Core Technical Syllabus Subject CT8 Financial Economics Core Technical Syllabus for the 2018 exams 1 June 2017 Aim The aim of the Financial Economics subject is to develop the necessary skills to construct asset liability models

More information

Appendix: Basics of Options and Option Pricing Option Payoffs

Appendix: Basics of Options and Option Pricing Option Payoffs Appendix: Basics of Options and Option Pricing An option provides the holder with the right to buy or sell a specified quantity of an underlying asset at a fixed price (called a strike price or an exercise

More information

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Spring 2018 Instructor: Dr. Sateesh Mane.

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Spring 2018 Instructor: Dr. Sateesh Mane. Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Spring 218 Instructor: Dr. Sateesh Mane c Sateesh R. Mane 218 19 Lecture 19 May 12, 218 Exotic options The term

More information

Fixed-Income Analysis. Assignment 7

Fixed-Income Analysis. Assignment 7 FIN 684 Professor Robert B.H. Hauswald Fixed-Income Analysis Kogod School of Business, AU Assignment 7 Please be reminded that you are expected to use contemporary computer software to solve the following

More information

University of California, Los Angeles Department of Statistics. Final exam 07 June 2013

University of California, Los Angeles Department of Statistics. Final exam 07 June 2013 University of California, Los Angeles Department of Statistics Statistics C183/C283 Instructor: Nicolas Christou Final exam 07 June 2013 Name: Problem 1 (20 points) a. Suppose the variable X follows the

More information

Lecture 18. More on option pricing. Lecture 18 1 / 21

Lecture 18. More on option pricing. Lecture 18 1 / 21 Lecture 18 More on option pricing Lecture 18 1 / 21 Introduction In this lecture we will see more applications of option pricing theory. Lecture 18 2 / 21 Greeks (1) The price f of a derivative depends

More information

************* with µ, σ, and r all constant. We are also interested in more sophisticated models, such as:

************* with µ, σ, and r all constant. We are also interested in more sophisticated models, such as: Continuous Time Finance Notes, Spring 2004 Section 1. 1/21/04 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences. For use in connection with the NYU course Continuous Time Finance. This

More information

Pricing theory of financial derivatives

Pricing theory of financial derivatives Pricing theory of financial derivatives One-period securities model S denotes the price process {S(t) : t = 0, 1}, where S(t) = (S 1 (t) S 2 (t) S M (t)). Here, M is the number of securities. At t = 1,

More information

last problem outlines how the Black Scholes PDE (and its derivation) may be modified to account for the payment of stock dividends.

last problem outlines how the Black Scholes PDE (and its derivation) may be modified to account for the payment of stock dividends. 224 10 Arbitrage and SDEs last problem outlines how the Black Scholes PDE (and its derivation) may be modified to account for the payment of stock dividends. 10.1 (Calculation of Delta First and Finest

More information

King s College London

King s College London King s College London University Of London This paper is part of an examination of the College counting towards the award of a degree. Examinations are governed by the College Regulations under the authority

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 10 th November 2008 Subject CT8 Financial Economics Time allowed: Three Hours (14.30 17.30 Hrs) Total Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1) Please read

More information

AMH4 - ADVANCED OPTION PRICING. Contents

AMH4 - ADVANCED OPTION PRICING. Contents AMH4 - ADVANCED OPTION PRICING ANDREW TULLOCH Contents 1. Theory of Option Pricing 2 2. Black-Scholes PDE Method 4 3. Martingale method 4 4. Monte Carlo methods 5 4.1. Method of antithetic variances 5

More information

Fixed Income and Risk Management

Fixed Income and Risk Management Fixed Income and Risk Management Fall 2003, Term 2 Michael W. Brandt, 2003 All rights reserved without exception Agenda and key issues Pricing with binomial trees Replication Risk-neutral pricing Interest

More information

P2.T5. Tuckman Chapter 7 The Science of Term Structure Models. Bionic Turtle FRM Video Tutorials. By: David Harper CFA, FRM, CIPM

P2.T5. Tuckman Chapter 7 The Science of Term Structure Models. Bionic Turtle FRM Video Tutorials. By: David Harper CFA, FRM, CIPM P2.T5. Tuckman Chapter 7 The Science of Term Structure Models Bionic Turtle FRM Video Tutorials By: David Harper CFA, FRM, CIPM Note: This tutorial is for paid members only. You know who you are. Anybody

More information

Forwards, Futures, Options and Swaps

Forwards, Futures, Options and Swaps Forwards, Futures, Options and Swaps A derivative asset is any asset whose payoff, price or value depends on the payoff, price or value of another asset. The underlying or primitive asset may be almost

More information

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Fall 2017 Instructor: Dr. Sateesh Mane.

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Fall 2017 Instructor: Dr. Sateesh Mane. Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Fall 2017 Instructor: Dr. Sateesh Mane c Sateesh R. Mane 2017 14 Lecture 14 November 15, 2017 Derivation of the

More information

2 f. f t S 2. Delta measures the sensitivityof the portfolio value to changes in the price of the underlying

2 f. f t S 2. Delta measures the sensitivityof the portfolio value to changes in the price of the underlying Sensitivity analysis Simulating the Greeks Meet the Greeks he value of a derivative on a single underlying asset depends upon the current asset price S and its volatility Σ, the risk-free interest rate

More information

Volatility Smiles and Yield Frowns

Volatility Smiles and Yield Frowns Volatility Smiles and Yield Frowns Peter Carr NYU IFS, Chengdu, China, July 30, 2018 Peter Carr (NYU) Volatility Smiles and Yield Frowns 7/30/2018 1 / 35 Interest Rates and Volatility Practitioners and

More information

Option Pricing. Simple Arbitrage Relations. Payoffs to Call and Put Options. Black-Scholes Model. Put-Call Parity. Implied Volatility

Option Pricing. Simple Arbitrage Relations. Payoffs to Call and Put Options. Black-Scholes Model. Put-Call Parity. Implied Volatility Simple Arbitrage Relations Payoffs to Call and Put Options Black-Scholes Model Put-Call Parity Implied Volatility Option Pricing Options: Definitions A call option gives the buyer the right, but not the

More information

FINANCIAL DERIVATIVE. INVESTMENTS An Introduction to Structured Products. Richard D. Bateson. Imperial College Press. University College London, UK

FINANCIAL DERIVATIVE. INVESTMENTS An Introduction to Structured Products. Richard D. Bateson. Imperial College Press. University College London, UK FINANCIAL DERIVATIVE INVESTMENTS An Introduction to Structured Products Richard D. Bateson University College London, UK Imperial College Press Contents Preface Guide to Acronyms Glossary of Notations

More information

Options Markets: Introduction

Options Markets: Introduction 17-2 Options Options Markets: Introduction Derivatives are securities that get their value from the price of other securities. Derivatives are contingent claims because their payoffs depend on the value

More information

Replication strategies of derivatives under proportional transaction costs - An extension to the Boyle and Vorst model.

Replication strategies of derivatives under proportional transaction costs - An extension to the Boyle and Vorst model. Replication strategies of derivatives under proportional transaction costs - An extension to the Boyle and Vorst model Henrik Brunlid September 16, 2005 Abstract When we introduce transaction costs

More information

Change of Measure (Cameron-Martin-Girsanov Theorem)

Change of Measure (Cameron-Martin-Girsanov Theorem) Change of Measure Cameron-Martin-Girsanov Theorem Radon-Nikodym derivative: Taking again our intuition from the discrete world, we know that, in the context of option pricing, we need to price the claim

More information

Computational Finance. Computational Finance p. 1

Computational Finance. Computational Finance p. 1 Computational Finance Computational Finance p. 1 Outline Binomial model: option pricing and optimal investment Monte Carlo techniques for pricing of options pricing of non-standard options improving accuracy

More information

FIN FINANCIAL INSTRUMENTS SPRING 2008

FIN FINANCIAL INSTRUMENTS SPRING 2008 FIN-40008 FINANCIAL INSTRUMENTS SPRING 2008 The Greeks Introduction We have studied how to price an option using the Black-Scholes formula. Now we wish to consider how the option price changes, either

More information

Copyright Emanuel Derman 2008

Copyright Emanuel Derman 2008 E478 Spring 008: Derman: Lecture 7:Local Volatility Continued Page of 8 Lecture 7: Local Volatility Continued Copyright Emanuel Derman 008 3/7/08 smile-lecture7.fm E478 Spring 008: Derman: Lecture 7:Local

More information